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alphalens

Performance analysis of predictive (alpha) stock factors

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

asp

2019-20 Module 1 (Fall), Applied Stochastic Processes

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

awesome-quant

**的Quant相关资源索引

d2l-torch

《动手学深度学习》 PyTorch 版本

deepinterests

深度有趣

dimensionality_reduction_alo_codes

PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

elitequant

A list of online resources for quantitative modeling, trading, portfolio management

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

learngit

A learning file

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machinelearning_python

机器学习算法python实现

ml-dl_book

机器学习、深度学习一些个人认为不错的书籍。

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mlf

Machine Learning for Finance: 2019-20 Module 3 (Spring 2020)

orderbook-dynamics

Modeling high-frequency limit order book dynamics with support vector machines

phbs-shortterm-factor

phbs_multi-factor_project

pybacktest

Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

python-100-days

Python - 100天从新手到大师

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

quant-trading

Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

rm-qf

Research Methodology for Quant Finance and Fintech by Jaehyuk Choi and Xianhua Peng

stofin

Stochastic Finance: 2019-20 Module 3 (Spring 2020)

strategy

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tutorials

机器学习相关教程